DocumentCode
2609908
Title
Study of the multi-level index fingerprint classification algorithm
Author
Jin, Hong Li ; Su, Fu Gen ; Zhou, Guo Juan
Author_Institution
Dept. of Electron. Eng., Beijing Inst. of Econ. Manage., Beijing, China
fYear
2011
fDate
27-29 June 2011
Firstpage
3581
Lastpage
3584
Abstract
In order to improve the index speed and the accuracy of fingerprint recognition system for the large population, a fingerprint classification algorithm based on multi-level index is proposed. Quality feature is used to classify fingerprints into three types: low quality ,high quality and disability. For the high quality fingerprints, three features, according to ridge shape, macroscopic curve and singular point, are used to establish three-step index, which decreases the index space gradually.
Keywords
fingerprint identification; image classification; fingerprint recognition system; high quality fingerprints; macroscopic curve; multilevel index fingerprint classification algorithm; quality feature; ridge shape; three-step index; Classification algorithms; Computers; Economics; Fingerprint recognition; Indexes; Shape; Telecommunications; Poincare index; fingerprint classification; image enhancement; macroscopic curvature; multi-level index; singular point;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location
Nanjing
Print_ISBN
978-1-4244-9762-1
Type
conf
DOI
10.1109/CSSS.2011.5974128
Filename
5974128
Link To Document